Senior Machine Learning Engineer

The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing, model training, and fine-tuning using large-scale healthcare datasets.

Requirements

• Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• 5+ years of experience in Machine Learning Engineering or a similar role.
• Proven experience with large-scale data preprocessing, LLM/model training, and fine-tuning.
• Experience with distributed training (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate).
• Experience with GPU/TPU optimization, memory management for large language models.
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
• Strong understanding of various machine learning algorithms,Large Language Models, and deep learning architectures.
• Experience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark) is a plus.
• Familiarity with MLOps practices and tools.
• Ability to work independently and as part of a team in a fast-paced environment.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Work Authorization: Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits

• Competitive salary and benefits package.
• Flexible working arrangements (remote or hybrid options available).
• The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
• Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
• Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.